Order Processing Kaizen
- Joseph Vitalo and Mark Guy
|
Summary |
|
Work Processes |
|
1. End-to-end work process for supplying
industrial machine parts
2. Order Processing component of total value chain |
|
Problem |
|
|
|
|
- Poor on-time delivery (75% from producer's perspective; less from
customer's perspective)
- Angry customer considering switching business to an alternate supplier
|
|
|
|
|
|
Reason |
|
- Lots of waste in process (wait, unnecessary processing, rework)
- Problem allowed to fester unresolved for more than a year
|
|
|
|
|
|
Actions |
|
Mapped and evaluated waste in the end-to-end
work process to identify where the major sources of difficulty were. Uncovered
the Order Processing subprocess as a major source of delays. Did Office
Kaizen for Order Processing to eliminate extreme variability and waste. |
|
|
|
|
|
Outcome |
|
- Order processing cycle reduced to a consistent 4 hours from a pre-event
range of 9 hours to 16 days
|
|
|
- Lead time reduced 75% .
- On-time delivery rose to 94% (by customer's judgment) .
- Customer satisfaction improved and goodwill was re-established.
|
|
|
|
|
|
Learning |
|
- Involve customers whenever possible because eliminating waste in your
operations may require your customer to eliminate waste in theirs. Also,
involving them and builds immense goodwill as they see you striving
to improve the value they receive.
|
|
|
- Changes in pricing and business practices that affect customers can't
be done ad hoc. They must be predictable from the customer's perspective
and fully communicated to all stakeholders. Otherwise, the generate
waste and immense ill will.
- Set a deadline for responding to information requests concerning the
work process and its current performance when preparing for a Kaizen
event; otherwise they linger unanswered and delay the start of the event.
|
Abstract
Two Kaizen events were completed to correct significant customer dissatisfaction
with lead time and on-time delivery. The problem had been brewing for more than
a year and the customer was getting ready to switch suppliers. The first Kaizen
focused on the end-to-end process from customer order to receipt of product.
It identified just where in the value chain the major source of the difficulty
was located. With that knowledge, a second Kaizen was done on the Order Processing
work process. In both cases, we used the approach described in the Kaizen
Desk Reference Standard. We had customer involvement throughout for
a number of reasons. One, goodwill needed to be re-established between the customer
and the supplier because it had been shredded by failure to address the customer's
concerns. A second was that it was likely that part of the problem was located
with the customer. Participation by the customer was extremely beneficial as
relationships between people were mended and new relationships were built. It
also allowed us to fully uncover and eliminate the waste that clogged the system.
|
|
Improving Product Shipping -
Joseph Vitalo and Tom Lowery
Summary |
Work Processes |
|
Separator Preparation and Packaging (Product
Shipping)
(Separators are a type of industrial filtering product.) |
Problem |
|
- Reduced revenue and profits due to high labor cost and lost opportunity
|
|
- Dissatisfied customers due to late delivery
|
|
|
|
Reason |
|
Workers in the shipping process served multiple
product lines. The cycle time for one product line, Separators, was too
long causing people not to be available to ship other product lines that
had unmet demand. This loaded up cost on the Separator product and reduced
its profit margins. It also delayed realizing revenue from other products
losing us money and angering our customers. |
|
|
|
Actions |
|
Kaizen the Separator Preparation and Packaging
work process to eliminate problem |
|
|
|
Outcome |
|
- Mission elements were accomplished—throughput was increased
yielding faster collection of revenues, cost for shipping Separators
was reduced adding profits, and customer satisfaction was elevated.
|
|
- Cycle time reduced 59% from 2 hours and 24 minutes to just 59 minutes.
- Travel/transport was reduced 37% in terms of time and 56% in terms
of distance (from 3,215 feet to 1,424 feet).
- All the sources of rework found in the event were eliminated.
- More than 100 pages of paper output and storage per work cycle were
eliminated.
- Set up time was reduced by 22%.
- Motion was reduced 16%.
- $25,200 annual savings in direct labor cost for the Separator product
line. Workers were redeployed to shipping other product variations that
were behind schedule.
|
|
|
|
Learning |
|
- Ask your customers what they want, don't presume you know. You may
be adding features they do not want. It builds your relationships and
it will uncover waste.
|
|
- Work processes are like attics—they both accumulate stuff you
don't really need. We are prone to accumulate behaviors, interim outputs,
and information without regularly validating whether they continue to
be needed. Eliminate this proneness and you will prevent waste from
seeping into your systems.
- Any behavior that is repeated should be eliminated. If it can't be
eliminated, it ought to be automated.
|
Abstract
A Kaizen event was completed on a shipping work process to correct inadequate
throughput, lost revenue and profit, and late product deliveries. We used the
approach described in the Kaizen
Desk Reference Standard. The Kaizen team was made up of the operators
who performed the work process and two floor managers. The major forms of waste
detected were travel/transport, rework, set up, and motion. The team also identified
two safety hazards. By eliminating paperwork and set-up activities that the
customers did not want, redesigning the packing workstation, relocating packing
materials and the computer used to access order information, placing packing
crates on dollies, color-coding the labels to match the caps that needed to
be applied to the product, altering the labeling process, redesigning the packing
crates, 5-S'ing the storage area, and many other improvements—the team
reduced the cycle time by 59% and achieved other dramatic waste reductions.
Component Receiving - Mark Reed
Summary |
Work Processes |
|
Component Receiving
|
Problem |
|
- Delays in fulfilling orders
|
|
|
|
|
|
Reason |
|
Lot's of waste in the work process. |
|
|
|
Actions |
|
Kaizen the work process to eliminate the waste. |
|
|
|
Outcome |
|
- Cycle time reduced by 26%.
|
|
- Uncovered and corrected 11 safety problems.
- Identified another opportunity to reduce cycle time even more.
|
|
|
|
Learning |
|
- Always incorporate the uncovering of hazards into your search for
waste. It requires little effort and produces important benefits. Everyone
should return home as whole and well as they arrive at work.
|
|
- Use a high level value stream mapping exercise to uncover components
where the greatest opportunities for improvement exist. Use progressively
more detailed mapping and waste evaluation analyses to target in which
subprocesses your Kaizen events will produce the greatest benefits to
the company.
|
Abstract
A Kaizen event was conducted in Chu-Pei, Taiwan on a component receiving work
process to reduce delays and costs. We used the approach described in the Kaizen
Desk Reference Standard. The Kaizen team was made up of the workers
who performed the work process and spoke only Chinese. The goal of the event
was to reduce the amount of time it took to complete the inspections of incoming
components. We reduced it by 26% by cutting out the unnecessary work steps and
reducing the travel. By traditional thinking, the whole inspection work process
is waste, but due to the stringent quality requirements required by our customers,
we cannot simply eliminate the inspection. They value it and are willing to
pay for it, so that means that it is not waste.
Improving the Core Staging and Setting
Process - Joseph Vitalo
Summary |
Work Processes |
|
Core Staging and Setting
(Cores are forms used to create casting molds. Staging
refers to assembling cores on carts for setting. Setting places cores
on a plate that is used to stamp molds for casting.)
|
Problem |
|
Operating
- Cycle time too long
- Rework due to improperly handled cores
- Scrap due to improperly set cores
- Safety hazards due to the ergonomics of tasks – bending, lifting,
turning, pushing, and repetitive motion (cores can weight up to 11 pounds
each)
- Elevated person hours per ton of product produced
|
|
Business Impact
- Reduced profits
- Hindered ability to meet customer expectation for continuously improved
pricing
|
|
|
|
Reason |
|
Uncertain before event. It was presumed that
the human operations were delaying machine operations and that was creating
a bottleneck. As to why, there was no idea. Workers seemed focused and
applied themselves continuously to their tasks. The task is highly repetitive
and physically demanding. Cause of rework and scrap was not understood,
but thought to be associated with human handling. |
|
|
|
Actions |
|
Kaizen the Core Staging and Setting work process
to eliminate problems |
|
|
|
Outcome |
|
- Mission elements were accomplished—cycle time was reduced,
throughput increased, and cost reduced enabling the satisfaction of
customer expectations while sustaining the opportunity for profits.
|
|
- Cycle time reduced 29%
- Value-added ratio improved 71%
- Throughput increased by 88%
- Travel/transport reduced 85% in cycle time and 76% in distance (from
1,907 feet to 458 feet)
- Wait reduced by 61%
- 8 of 15 hazards removed (follow up actions will remove remaining items)
- Set up time reduced by 29%
- Unnecessary processing reduced by 58%
- Over $180,000 in net annual savings
|
|
|
|
Learning |
|
- Observation is critical to discovering what is actually happening.
We discovered that the operators were not the bottleneck at all; it
was the machines. Also, the rework and scrap we observed were due to
machine operations, not human operations.
|
|
- Process observations of rapidly performed work operations are best
done from videotape. We observed over 900 human operations performed
inside 45 minutes. We taped the observations and did our measurements
using the tapes. We could never have recorded the observations in real
time.
|
Abstract
A manufacturer of ductile iron products for the automotive industry is engaged
in a major rollout of Lean throughout its manufacturing function. As part of
this rollout, it is developing a core team of Kaizen facilitators. The business
identified the core staging and setting work process as a first event for this
team. The event was led by their instructor and applied the Kaizen method documented
in the Kaizen
Desk Reference Standard. The core staging and setting process was selected
because waste was observed in its operations and its cycle time was slowing
down the mold line, the operation where molds are produced. A lowered molds-per-hour
rate means less throughput, higher person hours per ton, and more product cost.
Industry customers unremittingly demand timely delivery of products and consistently
reduced pricing.
The Kaizen team was made up of the facilitators who included people who work
in and with the target work process and augmented by an operator who performed
the work process. As the event unfolded, input from all process operators was
elicited and used to uncover the sources of problems and their fixes. The final
results of the event were the cumulative contribution of the team and the work
process employees.
The major forms of waste detected were wait (46% of cycle time), setup (21%),
travel/transport (10%), and motion (8%). In addition 15 hazards were detected,
mostly ergonomic in nature. The team addressed both machine operations and human
operations in developing its improvements. On the machine side, improvements
modified maintenance methods, recalibrated software controls, and modified a
machine part to extend its mean time to breakdown. On the human side, the team
modified the scheduling of job runs to group jobs using like metals, designed
a new dunnage system that would greatly reduce ergonomic issues and setup, and
6S'd the work area to reduce travel and transport and eliminate hazards, among
many other actions. As a result, cycle time was reduced by 29% and process's
value-added ratio was improved by 71%. Wait was reduced by 61%, travel/transport
by 85%, setup by 29%, and unnecessary processing by 58%. Scrap was reduced 21.66
tons per month and throughput was improved 88%. 8 of the 15 hazards were eliminated
in the event. The remaining hazards are scheduled for elimination as a follow
up to the event.
|
|
|